TigerGraph
概述
公司介绍
TigerGraph 是面向企业应用程序的图形数据库平台提供商。它通过支持具有复杂和海量数据的企业的实时深度链接分析,实现了图形平台的真正承诺和好处。 TigerGraph 的成熟技术被包括支付宝、VISA、软银、中国国家电网、Wish 和 Elementum 在内的客户使用。该公司支持物联网、人工智能和机器学习等应用程序,以理解不断变化的大数据。它还提供个性化推荐、防欺诈、供应链物流、公司知识图谱等功能。由 Yu Xu 博士创立2012年,TigerGraph由启明创投、百度、蚂蚁金服、AME Cloud、Morado Ventures、Zod Nazem、丹华资本和DCVC投资。 TigerGraph 总部位于加利福尼亚州雷德伍德城。
物联网解决方案
TigerGraphDb TigerGraph 正在实现图数据库发展的下一个阶段:第一个能够对网络规模数据进行实时分析的系统。我们的原生并行图? (NPG) 设计侧重于存储和计算,支持实时图更新并提供内置的并行计算。我们的类 SQL 图形查询语言 (GSQL) 提供对大数据的即席探索和交互式分析。借助 GSQL 的表达能力和 NPG 速度,您将能够执行深度链接分析:发现以前难以达到或表达起来过于繁琐的连接。 TigerGraph Cloud专为那些宁愿构建创新应用程序以提供新见解而不是管理数据库的敏捷团队而构建。使用 TigerGraph 云图形数据库即服务,几分钟内开始,几小时内构建并在几天内部署。 TigerGraph 图形工作室? TigerGraph 图形工作室?是我们简单而强大的图形用户界面。 GraphStudio 将图形数据分析的所有阶段集成到一个易于使用的图形用户界面中。 GraphStudio 非常适合临时、交互式分析和学习使用 TigerGraph 平台。
主要客户
国家电网、安进、圣克拉拉县、OpenCorporate、Pagantis
物联网应用简介
技术栈
TigerGraph的技术栈描绘了TigerGraph在基础设施即服务 (iaas), 和 分析与建模等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
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实例探究.
Case Study
Technology Giant Enhances Customer Experience with TigerGraph
The Fortune 50 company, one of the largest technology corporations in the world, was seeking to develop a new core customer 360 record system. This system was intended to offer a product recommendation system and entity resolution feature. The goal was to create accurate customer profiles that displayed hierarchical relationships, thereby delivering an exceptional customer experience when customers interacted with their centralized database for various functions such as purchasing products or requesting services. The company also desired a system that was scalable and more efficient than their previous one. This operational function for their customer 360 was deemed critical to their competitive advantage in the market. The system was to consist of a centralized data source that would serve as the core of the customer data platform.
Case Study
Cyber Resilience Leader Enhances Cybersecurity Services with TigerGraph
A leading cybersecurity company, known for its threat intelligence, endpoint protection, and disaster recovery services, was facing a significant challenge. The company was unable to scale their classification services with their existing SQL Server-based solution. The rapid emergence of new websites necessitated the use of accurate and timely threat data, and the execution of thousands of classifications per second across massive data sets. The company recognized the need for a completely new back-end to power their classification services, to keep pace with the ever-expanding internet.
Case Study
Major Financial Institution Enhances Anti-Money Laundering Capabilities with TigerGraph
The financial institution, one of the largest in the United States, was seeking to enhance its networking and link analysis capabilities for anti-money laundering. The institution wanted to identify connections between open work items in situations of interest, such as previous SAR filings and other open work items, and make this information available to analysts and investigators. They also wanted to conduct thorough ad hoc reviews of an entity, displaying the connections from an ecosystem surrounding a specific starting point of an investigation. Furthermore, the system should enable analysts to identify which connections and situations of interest lead to productive investigations and inform the creation, hibernation, or escalation of work items. The company was in search of a solution that offered a client-focused approach, state-of-art technology, and a next-generation database management solution that integrated seamlessly with its existing workflow.
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